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Metrics & A/B Test Design Trainer
Interactive PM interview practice for metrics selection and A/B test design with Python-calculated statistical rigor and detailed feedback.
What You Get
Get realistic PM interview practice with actual statistical calculations, detailed scoring across multiple dimensions, and improved test designs showing professional PM format.
The Problem
The Solution
How It Works
- 1 Generate realistic product scenario with current metrics, baselines, and business goals
- 2 Collect user's complete test design including hypothesis, metrics, sample size estimate, and risk mitigation
- 3 Calculate actual required sample size using Python (scipy.stats) and compare to user's estimate
- 4 Provide structured feedback with scores across metric selection, statistical rigor, variant design, and PM judgment
- 5 Present improved test design with all calculated values and professional formatting
What You'll Need
- Python with scipy for statistical calculations
- User provides complete test design or metrics framework when prompted
- Basic understanding of A/B testing concepts (skill teaches statistical details)
Get This Skill
Requires Pro subscription ($9/month)
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